Only Recommend Short Stories That Are Absolutely Amazing. Don't Bother If They're Not Good

551 替 After Getting Married, I Moved the Modern Apartment into the Ancient Battlefield Hibiscus in the Prime YearAncient Romance109k WordsOngoing 80Reads—Score—Shelves

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Recently I came across this set of recommendations in Shuhuang, and I really think they are quite right😋. "Moving a Modern Apartment into an Ancient Battlefield After a Substitute Marriage" is very imaginative, and watching the heroine do infrastructure construction is particularly stress-relieving. Although workplace marriage and love stories like "Drowning in the Gentle Vortex" are clichéd, they are better because the emotional lines are delicate and not bloody. There is also the one "The new car just filed with the police and it's the ex-boyfriend". Just reading the title makes me want to click on it🍉. Whether they are novels or short stories, the quality of these books is all online, and they are just perfect for catching up on on the sofa on weekends✨.

557 边 Little Tailor on the Frontier Could It Be Something in the Pond?Marriage & Romance36k WordsCompleted 266Reads9.0Score—Shelves

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Short story recommendation!

562 隐 Stealth Armor—dispelling Evil Spirits Watching the Rain in the Middle of the Month7k WordsCompleted 15Reads8.4Score—Shelves

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Super cool short story, no money if it doesn't look good [laughs]

563 洪 The End of the Flood Is Followed by the End of Drought, I Cast a Spell to Save the World The Misty-Tongued Eggser37k WordsCompleted 83Reads8.5Score—Shelves

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Personally, I think these stories of mine are still acceptable. Let me make it clear that the twelfth article is from a friend, and this one written by her is also good.

575 紫 Zi Guiting Writer Lu Tao50k WordsCompleted 31Reads8.5Score—Shelves

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Recommended high-quality short stories.

580 我 After I Handed over the Historical Lottery Data to AI, the Director Panicked Listen to the City at Midnight13k WordsCompleted 5Reads8.4Score—Shelves

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These two books are the top short stories I have read recently. I stayed up late to read them in one go, and they have great staying power. Let's talk about the first book first, "After I handed over the historical lottery data to AI, the director panicked." Do you think this is a cool article about "AI predicting lottery numbers"? No. The male protagonist is a data engineer who was forced out by the company and returns to his hometown to clean up the lottery station left by his deceased father. Eight years ago, the center announced that his father's terminal had sold a 5 million first-prize lottery ticket—but his father's store had a power outage at 18:43 that day and it was not restored until the next morning. He fed 18 years of lottery data to the AI, and after ten minutes the AI ​​gave two conclusions: "The lottery numbers passed the randomness test." "There was an abnormal clustering of first-prize sales and redemption records." "127 Abnormal grand prize records were detected." The first one was his dad's store. The most amazing thing is that the director of the lottery center personally called the next day. He did not ask whether the AI ​​calculation was correct, but only asked: "Who else have you sent that data to?" Later, the AI ​​directly predicted the next abnormal prize redemption on what day and in which provincial center. Reporters stayed at the scene and verified the whole process live, and all hits were successful. The whole process does not rely on buying lottery tickets to make money, but relies entirely on public data auditing. The evidence chain is designed to be very solid. There is no magic certificate. Every step relies on bank flow, banknote inspection and industrial and commercial records to close the loop. I cried when my father translated it from "suspected of fraud" to "first whistleblower". The second book "The day after I was laid off, I used AI to clear the lottery prize pool" is also very interesting. It is also about AI+lottery, but it takes a different path, so you can change the taste. Both books are not long and can be read in one night. If you like data flow, suspenseful counter-attacks, and strict logic, you can go directly to the first book.